Interprocedural side-effect analysis and optimisation in the presence of dynamic class loading
ACSC '05 Proceedings of the Twenty-eighth Australasian conference on Computer Science - Volume 38
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Interprocedural side-effect analysis for incomplete object-oriented software modules
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ICSE '07 Proceedings of the 29th international conference on Software Engineering
Dynamic purity analysis for java programs
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Composition inference for UML class diagrams
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CC'11/ETAPS'11 Proceedings of the 20th international conference on Compiler construction: part of the joint European conferences on theory and practice of software
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Purity and side effect analysis for java programs
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ECOOP'06 Proceedings of the 20th European conference on Object-Oriented Programming
Side-effect analysis with fast escape filter
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Reim & ReImInfer: checking and inference of reference immutability and method purity
Proceedings of the ACM international conference on Object oriented programming systems languages and applications
Aliasing in Object-Oriented Programming
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Knowing which methods do not have side effects is necessary in a variety of software tools for program understanding, restructuring, optimization, and verification. We present a general approach for identifying side-effect-free methods in Java software. Our technique is parameterized by class analysis and is designed to work on incomplete programs. We present empirical results from two instantiations of the approach, based on Rapid Type Analysis and on points-to analysis. In our experiments with several components, on average 22% of the investigated methods were identified as free of side effects. We also present a precision evaluation which shows that the approach achieves almost perfect precision 驴 i.e., it almost never misses methods that in reality have no side effects. These results indicate that very precise identification of side-effect-free methods is possible with simple and inexpensive analysis techniques, and therefore can be easily incorporated in software tools.